For things like sensor data where the data format tends to be rather simple (timestamp and value), a time series database (TSD) can be an efficient option as the full feature set of e.g. a full ...

Consider a dataset extracted from a windmill within an open data architecture. A team of data scientists analyzes the dataset and uses machine learning (ML) tools to perform predictive analytics. At ...

Abstract R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

Virtualitics’ 3D-centric data visualization platform. “Traditional data exploration tools have limited capabilities in identifying and visualizing the complexity of today’s data,” he said.

This article is more than 6 years old. Bo McCready's creative data visualization projects have helped him win over the stat nerds of Reddit's r/dataisbeautiful in just seven short months.

Researchers at China Pharmaceutical University have developed GseaVis, a user-friendly R package that significantly enhances the visualization of Gene Set Enrichment Analysis (GSEA) results. This ...

The Afghanistan Interactive time-series visualization provides a comprehensive profile of the most recent progress on socio-economic outcomes in Afghanistan, both at the national and at the provincial ...